Peter Pfaffelhuber - researchr alias

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Viewing Publication 1 - 10 from 10

2022

Neural networks for self-adjusting mutation rate estimation when the recombination rate is unknownKlara Elisabeth Burger, Peter Pfaffelhuber, Franz Baumdicker. ploscb, 18(8), 2022. [doi]

2021

The range of once-reinforced random walk in one dimensionPeter Pfaffelhuber, Jakob Stiefel. rsa, 58(1):164-175, 2021. [doi]

High-complexity regions in mammalian genomes are enriched for developmental genesAnton Pirogov, Peter Pfaffelhuber, Angelika Börsch-Haubold, Bernhard Haubold. bioinformatics, 37(19):3388, 2021. [doi]

pgainsim: an R-package to assess the mode of inheritance for quantitative trait loci in GWASNora Scherer, Peggy Sekula, Peter Pfaffelhuber, Pascal Schlosser. bioinformatics, 37(18):3061-3063, 2021. [doi]

2019

High-complexity regions in mammalian genomes are enriched for developmental genesAnton Pirogov, Peter Pfaffelhuber, Angelika Börsch-Haubold, Bernhard Haubold. bioinformatics, 35(11):1813-1819, 2019. [doi]

2017

A spatial model for selection and cooperationPeter Czuppon, Peter Pfaffelhuber. jap, 54(2):522-539, 2017. [doi]

2015

andi: Fast and accurate estimation of evolutionary distances between closely related genomesBernhard Haubold, Fabian Klötzl, Peter Pfaffelhuber. bioinformatics, 31(8):1169-1175, 2015. [doi]

2013

An alignment-free test for recombinationBernhard Haubold, Linda Krause, Thomas Horn, Peter Pfaffelhuber. bioinformatics, 29(24):3121-3127, 2013. [doi]

2011

Alignment-free estimation of nucleotide diversityBernhard Haubold, Floyd A. Reed, Peter Pfaffelhuber. bioinformatics, 27(4):449-455, 2011. [doi]

2009

Estimating Mutation Distances from Unaligned GenomesBernhard Haubold, Peter Pfaffelhuber, Mirjana Domazet-Loso, Thomas Wiehe. jcb, 16(10):1487-1500, 2009. [doi]

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